Calibration of a high dynamic range, low light level visible source

2011 ◽  
Author(s):  
Joe La Veigne ◽  
Todd Szarlan ◽  
Nate Radtke
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Light Level ◽  
Low Light ◽  
High Dynamic

scholarly journals Spatio-chromatic contrast sensitivity across the life span: interactions between age and light level in high dynamic range

2020 ◽  
Vol 20 (11) ◽  
pp. 1286
Author(s):  
Maliha Ashraf ◽  
Sophie Wuerger ◽  
Minjung Kim ◽  
Helen Saunderson ◽  
Jasna Martinovic ◽  
...  
Keyword(s):  
Life Span ◽  
Contrast Sensitivity ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Light Level ◽  
Chromatic Contrast ◽  
High Dynamic ◽  
Chromatic Contrast Sensitivity

scholarly journals Spatio-chromatic contrast sensitivity across the lifespan: interactions between age and light level in high dynamic range

2020 ◽  
Vol 2020 (28) ◽  
pp. 65-69
Author(s):  
Maliha Ashraf ◽  
Sophie Wuerger ◽  
Minjung Kim ◽  
Jasna Martinovic ◽  
Rafał K. Mantiuk
Keyword(s):  
Contrast Sensitivity ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Light Level ◽  
Background Luminance ◽  
Age Group ◽  
Chromatic Contrast ◽  
Achromatic Contrast ◽  
High Dynamic ◽  
Chromatic Contrast Sensitivity

We investigated spatio-chromatic contrast sensitivity in both younger and older color-normal observers. We tested how the adapting light level affected the contrast sensitivity and whether there was a differential age-related change in sensitivity. Contrast sensitivity was measured along three directions in colour space (achromatic, red-green, yellowish-violet), at background luminance levels from 0.02 to 2000 cd/m2, and different stimuli sizes using 4AFC method on a high dynamic range display. 20 observers with a mean age of 33 y. o. a. and 20 older observers with mean age of 65 participated in the study. Within each session, observers were fully adapted to the fixed background luminance. Our main findings are: (1) Contrast sensitivity increases with background luminance up to around 200 cd/m2, then either declines in case of achromatic contrast sensitivity, or remains constant in case of chromatic contrast sensitivity; (2) The sensitivity of the younger age group is higher than that for the older age group by 0.3 log units on average. Only for the achromatic contrast sensitivity, the old age group shows a relatively larger decline in sensitivity for medium to high spatial frequencies at high photopic light levels; (3) Peak frequency, peak sensitivity and cut-off frequency of contrast sensitivity functions show decreasing trends with age and the rate of this decrease is dependent on mean luminance. The data is being modeled to predict contrast sensitivity as a function of age, luminance level, spatial frequency, and stimulus size.

Test results from an imager for scenes with high dynamic range and low light levels

2010 ◽  
Author(s):  
D. P. Osterman ◽  
W. Good ◽  
R. Philbrick ◽  
L. Schneider ◽  
P. Johnson ◽  
...  
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Test Results ◽  
Low Light ◽  
Light Levels ◽  
High Dynamic

HDR4CV: High Dynamic Range Dataset with Adversarial Illumination for Testing Computer Vision Methods

2021 ◽  
Author(s):  
Param Hanji ◽  
Muhammad Z. Alam ◽  
Nicola Giuliani ◽  
Hu Chen ◽  
Rafał K. Mantiuk
Keyword(s):  
Computer Vision ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Detection Methods ◽  
Uniform Illumination ◽  
Low Light ◽  
Benchmark Datasets ◽  
High Dynamic ◽  
Preliminary Study ◽  
Additional Reference

Benchmark datasets used for testing computer vision (CV) methods often contain little variation in illumination. The methods that perform well on these datasets have been observed to fail under challenging illumination conditions encountered in the real world, in particular, when the dynamic range of a scene is high. The authors present a new dataset for evaluating CV methods in challenging illumination conditions such as low light, high dynamic range, and glare. The main feature of the dataset is that each scene has been captured in all the adversarial illuminations. Moreover, each scene includes an additional reference condition with uniform illumination, which can be used to automatically generate labels for the tested CV methods. We demonstrate the usefulness of the dataset in a preliminary study by evaluating the performance of popular face detection, optical flow, and object detection methods under adversarial illumination conditions. We further assess whether the performance of these applications can be improved if a different transfer function is used.

scholarly journals Burst photography for high dynamic range and low-light imaging on mobile cameras

2016 ◽  
Vol 35 (6) ◽  
pp. 1-12 ◽  
Author(s):  
Samuel W. Hasinoff ◽  
Dillon Sharlet ◽  
Ryan Geiss ◽  
Andrew Adams ◽  
Jonathan T. Barron ◽  
...  
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Low Light ◽  
Mobile Cameras ◽  
High Dynamic
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